Assignment 1

1. k-Nearest Neighbor: notebook, source.
2. Support Vector Machine: notebook, source.
3. Softmax classifier: notebook, source.
4. Two-Layer Neural Network: notebook, source.
5. Image Features: notebook.

Assignment 2

1. Fully-connected Neural Network: notebook, source.
2. Batch Normalization: notebook.
3. Dropout: notebook.
4. Convolutional Networks: notebook, source.
5. PyTorch: notebook.

• Optimizers
• Layers

Assignment 3

1. Image Captioning with Vanilla RNNs: notebook, source.
2. Image Captioning with LSTMs: notebook, source.
3. Saliency maps, Class Visualization, and Fooling Images: notebook.
4. Style Transfer: notebook.
5. Generative Adversarial Networks: notebook.

• Rnn layers